Data Analyst

Job Summary:

As a Sales Operations Analytics / Data Analyst, you will be a pivotal force in this growth, sitting at the intersection of data, strategy, and execution. You will empower our sales leadership and teams with the critical insights needed to optimize performance, identify new opportunities, and drive strategic decision-making. This role demands a highly analytical mind, a passion for data

storytelling, and the ability to translate complex data into actionable recommendations that directly impact our top-line growth and operational efficiency within the dynamic Retail landscape.

• Performance Analysis & Reporting: Design, develop, and maintain robust dashboards, reports, and analytical models to track key sales metrics, identify trends, and provide deep insights into sales performance across various segments (e.g., merchant acquisition, retention, growth, regional performance).
• Strategic Insights & Recommendations: Proactively identify opportunities for sales process improvements, efficiency gains, and revenue growth by analyzing sales data,market trends, and operational workflows. Present clear, concise, and actionable recommendations to sales leadership.
• Forecasting & Planning Support: Contribute to sales forecasting, capacity planning, and target setting processes by leveraging historical data, statistical models, and market intelligence to provide accurate projections.
• Data Infrastructure & Tools: Collaborate with data engineering and business intelligence teams to ensure data integrity, accessibility, and the development of scalable data solutions. Utilize SQL, Python, and advanced visualization tools (e.g., Tableau, Power BI) to extract, transform, and present data.
• Sales Optimization: Analyze sales funnel performance, conversion rates, and sales cycle efficiency to pinpoint bottlenecks and recommend solutions that streamline operations and enhance productivity.
• Ad-Hoc Analysis: Conduct deep-dive analyses on specific business questions or challenges, providing timely and accurate data-driven answers to support urgent strategic decisions.

Preferred qualifications:

• 3+ years of experience in Sales Operations, Business Intelligence, Data Analytics, or a similar analytical role, with a strong emphasis on sales performance.
• Demonstrated experience in the Grocery, Retail, E-commerce, or Q-commerce industry is highly preferred.
• Proven track record of translating complex data into clear, actionable insights and presenting them to senior leadership.
• Proficiency in SQL for data extraction and manipulation is required.
• Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) for dashboard creation and reporting.
• Analytical programming skills in Python (Pandas, NumPy) or R for advanced data analysis and modeling.
• Experience with CRM systems (e.g., Salesforce) and understanding of sales data structures.

Analytical & Problem-Solving Skills:

• Exceptional analytical and quantitative skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention t0 detail and accuracy.
• Strong problem-solving abilities, capable of tackling complex business challenges with a data-driven approach.
• Communication & Interpersonal Skills:
• Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to non-technical stakeholders.
• Strong interpersonal skills, with the ability to build relationships and influence cross-functional teams
• Bachelor & degree in Business, Economics, Finance, Statistics, Computer Science, or a related quantitative field. Master's degree is a plus.
• MBA from a top-tier school

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.